We're excited to be sharing our work on end-to-end likelihood-free phylogenetic inference using deep learning with Phyloformer 2.
Check out the preprint if that interests you:
https://t.co/qZIQtszBqi
Or our explanatory thread on bluesky:
https://t.co/UKIseb9dpA
#genomeinformatics2024 starting, Camille Marchet (@CamilleMrcht) gives the first keynote on de Bruin Graphs and applications. Conf program https://t.co/2E8Z0jZVtv
Next, Roland Faure (@rfaure2) on a new way to sketch sequences while mostly preserving SNPs, using mapping-friendly reductions from @pashadag, @lucblassel and I (Sina's thread: https://t.co/I5E4o98tET)
We're finally sharing our work on Phyloformer: a transformer-based approach for likelihood-free phylogenetic reconstruction. Here's a nice thread by @ljacob that recaps it all. If you're curious for more, feel free to read the preprint linked in the thread!
avoid @Hotwire like the plague! I booked a hotel reservation with them over the phone and they wrote down the wrong name! I couldn't check in & it was midnight. I spent 4 hours stranded in a new city going back and forth to hotels & customer service. Still waiting 4 a full refund
📢Job alert📢
You are looking for a post-doc in deep learning for genomics? We are recruiting!
https://t.co/QNuhkEp47m
#centerofparis@Sorbonne_Univ_@LCQB_UMR7238 @IBPS_Paris
The construction of large cohorts human pangenome graphs is a challenging task. We selected 5 different state-of-the art tools that generate variation graphs or De Bruijn graphs and used them to construct a human pangenome of 104 high-quality human haplotype assemblies. (1/4)
With plenty of colleagues, we are happy to introduce bioconvert, a software to convert bioinformatics files from one format to another. bioconvert currently includes 50 formats and 100 converters.
The Institut Pasteur Bioinfo/Biostats Hub @HubPasteur is recruiting for research engineer positions, including one focused on viral genomics data analysis ! https://t.co/F5pCChaVHM
MSRs are a cheap way to get more accurate mappings for @nanopore data. So read the whole story at: https://t.co/gUyG6YNOp7 and let us know what you think!
9/9
On repeated regions of the #T2T CHM13 reference, MSRs still improve mapping performance compared to HPC or raw. On centromere-like references though, it is better to not preprocess reads at all, even with HPC.
8/9